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The prior term E P (d) measures how good it matches with the prior knowledge about the disparity map.
The prior term had seen 10 red cards dished out to men in maroon and 89 cautions.
The prior term p(b c) of Equation 5 can be modeled in various ways, e.g., using a uniform distribution (resulting in a maximum likelihood estimation) or a zero-mean Gaussian distribution [37].
The prior term P(p), similar to the perception case, is assigned to the current neural motor activation of p, normalized by the sum of activations among all other candidate performances.
The prior term for the demographic parameters, p, expands out into its components and as a product over the Y pairs of populations (6) p = ∏ i = 1 Y p (θ A, i ) p (θ D 1, i ) p (θ D 2, i ) p (ζ D 1, i ) p (ζ D 2, i ) p (τ B, i ) p (m i ).
The prior term for the vector of divergence times for each of the Y pairs of populations, T, can be expanded as (7) p (T ) = p (t ) p (τ | t ), where τ is an ordered set of divergence-time parameters { τ1,…, τ| τ |} whose length | τ | can range from 1 to Y, and t is a vector of indices (t1,…, t Y ), where t i ∈{1,…,| τ |}.
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More details on the prior terms are given in references [15] and [20].
In order to estimate the weighted average ω i,j), two terms are considered: the likelihood and the prior terms.
It should be noted that proper weighting of the prior terms used in the objective function (1) is crucial for accurate xMLAA-based hardware attenuation estimation.
"This is a change from the prior terms under which developers earned either 70percentt of the app's sales price or 20percentt of list price (whichever was greater)," Amazon writes.
If the smoothing and the intensity prior are not considered or if the weighting of the prior terms is too low, noise propagation from the emission data into the estimated attenuation map causes non-zero attenuation coefficients in regions which correspond to air, i.e., where there should be zero attenuation.
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